Veridical Data Science: Responsible, Reliable, Reproducible

This lecture by Prof. Bin Yu discusses veridical data science, focusing on responsible, reliable, reproducible, and transparent data analysis and decision-making. It covers the Center for Intelligent Systems at EPFL, key elements of data science, the PCS framework, and case studies on precision medicine. The lecture emphasizes the importance of human judgment calls in the data science life cycle, the PCS workflow, and the application of PCS inference in various domains. Prof. Yu also presents upcoming research on veridical data science and the critical skills taught in the field, such as critical thinking, data processing, and communication.